We already had some great data reuse within the Singer lab from www.nature.com/articles/s41..., and I would love to talk more with anyone interested in future data reuse ideas and applications.

And I’m happy to say the full dataset from raw to processed data is now publicly available on the DANDI archive: dandiarchive.org/dandiset/001...!

While working on this project, I was starting to dive more into open science world, and this work was accelerated by and relied on several of the awesome open-source scientific software packages available for neural data processing and analysis.

The final paper was a team effort, major props to Danielle for her great work getting this project over the finish line, to the talented Teema, Navya, and Tyler who were critical to data collection, and to @drannabellesinger.bsky.social for her excellent guidance and encouragement!

This was a challenging dataset to collect but yielded lots of interesting results! One of my favorites is that not only did new information trigger an increase in non-local hippocampal representations, but these prospective codes were also dependent on the amount of behavioral adaptation needed.

This work started as a fun idea to leverage the unique capabilities of VR navigation and design a task that required animals to adapt their plans in response to new information. We were interested in the role of hippocampus and prefrontal cortex during this flexible, memory-guided decision making.